Citation 511

Bibliographic concordance score: 100/100 (very high correspondence)

Citation source: BLOG, “Pourquoi les personnes autistes ne peuvent pas "s'habituer": ce que dit vraiment la science”, published on 7 Apr 2026

Return to the project page

Cited reference

Uddin, L. Q., et al. (2013). Salience network-based classification and prediction of symptom severity in children with autism. JAMA Psychiatry, 70(8), 869-879. DOI: 10.1001/jamapsychiatry.2013.104

Identified reference

Validated match

Uddin, Lucina Q.; Supekar, Kaustubh; Lynch, Charles J. (2013). Salience Network-Based Classification and Prediction of Symptom Severity in Children With Autism. JAMA Psychiatry, 70(8), 869. https://doi.org/10.1001/jamapsychiatry.2013.104

Verification links

Open identified reference source Search the cited reference in Google Scholar

Candidate references (M1 and M2)

Method	Jaccard index	Source	Candidate reference
M1: Crossref, OpenAlex and PubMed	100.0%	M1: Crossref	Uddin, Lucina Q.; Supekar, Kaustubh; Lynch, Charles J. (2013). Salience Network-Based Classification and Prediction of Symptom Severity in Children With Autism. JAMA Psychiatry, 70(8), 869. https://doi.org/10.1001/jamapsychiatry.2013.104

M1: Crossref is selected because its DOI matches the DOI provided in the cited reference.

Bibliographic concordance score calculation

Element	Status	Score	Weight
Authors	Concordant	100.0%	0.20
Title	Concordant	100.0%	0.20
Year	Concordant	100.0%	0.20
Journal	Concordant	100.0%	0.20
DOI	Concordant	100.0%	0.20

(Authors 100.0x0.20 + Title 100.0x0.20 + Year 100.0x0.20 + Journal 100.0x0.20 + DOI 100.0x0.20) / evaluated weight 1.00 = 100.0

Title correspondence details (Jaccard index)

Union: 7 words present in the titles: children; classification; network-based; prediction; salience; severity; symptom
Intersection: 7 shared words: children; classification; network-based; prediction; salience; severity; symptom
Words cited but absent from the matched title: -
Words from the matched title absent from the citation: -
Tolerance applied: hyphenated compound words kept: network-based; domain words excluded from the calculation: autism
Index calculation: Jaccard index = intersection / union = 7 / 7 = 100.0 %
Jaccard index: 100.0% (very high lexical similarity)

Possible correction

This citation record may contain an error. If you notice one, please contact the AutiHub team using the contact form and mention citation 511 with a short description of the possible error.

The team will check the record and, where appropriate, make the necessary correction.

Contact AutiHub